Senior Product Manager - Search & Analytics Platform
Sumo Logic is hiring a Senior Product Manager to own the data, query, and context foundations that help customers and AI agents understand and act on operational and security telemetry.
Effective investigation depends on finding the right data, querying it efficiently, and understanding how it relates to the customer's environment. As AI agents take on more analytical work, they need dependable access to telemetry and context: which service an entity belongs to, what it depends on, who owns it, and what changed. This role owns the shared platform capabilities that make that possible across observability, security, and platform optimization.
You will own established search and analytics capabilities while building toward federated analytics and a richer customer context foundation. This is a technically deep role requiring first-hand experience with data platforms, search, or analytics products, and the judgment to turn a broad platform vision into useful capabilities that teams can adopt.
What You Will Own
The search and query platform. Search and query capabilities, query language and analytical functions, partitions, views, and shared query services. You will own their roadmap, performance, reliability, and competitiveness, balancing analytical depth, ease of use, and cost for both human and agent workloads.
Federated analytics. Define how customers and agents query and correlate Sumo data with data in connected systems. Establish the use cases, supported analytical capabilities, and tradeoffs around data movement, freshness, performance, permissions, and cost, working closely with the teams responsible for integrations and access.
Customer context and the knowledge graph. Build the shared understanding of a customer's environment: entities, services, workloads, ownership, topology, and dependencies. Define how that context is assembled from telemetry, metadata, and connected systems, how relationships are maintained, and how the accumulated context improves investigation and analysis over time.
Data discovery and shared context services. Help people and agents discover available sources, schemas, fields, and relationships, and retrieve the data and context relevant to a task. Own the shared capabilities that make this information reusable across product experiences, with clear provenance, freshness, and permission boundaries.
What You Will Be Doing
Set the multi-quarter vision and roadmap for the data and analytics platform, connecting current customer needs with the requirements of AI-assisted investigation.
Own the health and evolution of shipping query capabilities, partitions, and views, using customer feedback and workload data to prioritize improvements.
Work with engineering and architecture on query execution, distributed analytics, scalability, and cost at enterprise scale.
Define and validate federated analytics use cases, and turn them into phased capabilities with clear behavior and limits.
Develop the entity and context strategy, including how services and resources are identified consistently across data sources and related to one another.
Partner with investigation, security, knowledge, and agent teams to turn their needs into shared platform capabilities and clear interfaces.
Partner with the product and engineering teams responsible for platform governance to ensure query and context capabilities respect established access controls, audit requirements, and cost policies.
Translate strategy into clear proposals, PRDs, user stories, acceptance criteria, and rollout plans.
Measure query success, latency, reliability, cost, context quality, and adoption, and show how platform improvements improve customer outcomes.
What You Bring
6+ years of product management experience, including direct ownership of data platforms, search, query systems, or analytics products. Relevant platform experience is a hard requirement.
Strong technical understanding of query…